Solar radiation prediction methods applied to improve greenhouse climate control

• Autor(es): Coelho, J.P. ; Cunha, José Boaventura ; Oliveira, Paulo
• Data: 2001
• Identificador Persistente: http://hdl.handle.net/10198/2773
• Origem: Biblioteca Digital do IPB
• Assunto(s): Time series prediction; Horticulture; Artificial neural networks; Linear regression
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

In this paper, deterministic and Artificial Neural Networks (ANNs)based techniques are applied to generate solar radiation forecast with the purpose of being incorporateed within a greenhouse predictive control strategy. These predictions are essential to estimate heat load flunctions in the greenhouse caused by high frequency solar radiation changes, and so to improve ventilation and heating computation requeriments for the greenhouse.